Introduction: Food insecurity is associated with adverse health consequences in women, especially pregnant ones. Present study is aimed to investigate prevalence and predictors of food insecurity among pregnant women.
Method: A cross-sectional study was conducted on 394 pregnant women in Qazvin during November 2016-May 2017. The Household Food Insecurity Access Scale (HFIAS) was used to assess food insecurity among pregnant women. Besides, the relationship of demographic, midwifery and socioeconomic factors was investigated using Chi-squared and logistic regression tests. Then, the obtained data were analyzed in Stata-12 software at the significance level of 0.05.
Findings: Nearly 44% of the participants had food insecurity. In multivariate analysis, only husbands' unemployment and unwanted pregnancy were associated with food insecurity; thus, the chance of food insecurity among women with unemployed husband was higher than the women with employed husband by 4.7 times [OR (95% CI) = 4.69(1.64, 13.42)]. Furthermore, the probability of food insecurity among the participants with unwanted pregnancy was twice more than those with wanted pregnancy [OR (95% CI) = 2.07(1.14, 3.74)].
Conclusion: Unemployed husband and unwanted pregnancy are related to food insecurity among pregnant women. Nevertheless, due to the nature of this study, it was not possible to clearly specify the path of such a relationship. To reduce food insecurity among pregnant women, it is essential to take all the necessary measures for providing financial supports for pregnant women through different ways in order to reduce the stress and worries caused by financial burden of pregnancy, and to improve nutrition quality and eating behaviours among pregnant women.
Keywords: Food insecurity; Logistic regression; Predictor; Pregnancy.
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